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Machine Learning with R Cookbook, Second Edition

You're reading from   Machine Learning with R Cookbook, Second Edition Analyze data and build predictive models

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787284395
Length 572 pages
Edition 2nd Edition
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu)
Author Profile Icon Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
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Table of Contents (15) Chapters Close

Preface 1. Practical Machine Learning with R FREE CHAPTER 2. Data Exploration with Air Quality Datasets 3. Analyzing Time Series Data 4. R and Statistics 5. Understanding Regression Analysis 6. Survival Analysis 7. Classification 1 - Tree, Lazy, and Probabilistic 8. Classification 2 - Neural Network and SVM 9. Model Evaluation 10. Ensemble Learning 11. Clustering 12. Association Analysis and Sequence Mining 13. Dimension Reduction 14. Big Data Analysis (R and Hadoop)

Practical Machine Learning with R

In this chapter, we will cover the following topics:

  • Downloading and installing R
  • Downloading and installing RStudio
  • Installing and loading packages
  • Understanding basic data structures
  • Basic commands for subsetting
  • Reading and writing data
  • Manipulating data
  • Applying basic statistics
  • Visualizing data
  • Getting a dataset for machine learning
You have been reading a chapter from
Machine Learning with R Cookbook, Second Edition - Second Edition
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781787284395
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